Bavfakes — Atrioc Top ((link))

In January 2023, popular Twitch streamer (Brandon Ewing) became the center of a major controversy when he accidentally revealed a browser tab during a livestream. The tab showed a website called "bavfakes" (an AI deepfake platform), where he had been viewing and purchasing non-consensual deepfake pornography featuring fellow female streamers, including friends and colleagues like QTCinderella, Maya Higa, and Pokimane. Key Events of the Controversy

The rise of BVFakes and Atrioc's top fakes has significant implications for the gaming community:

The "top" content created by Bavfakes and Atrioc typically features the duo competing in popular games, often with a focus on Apex Legends, Overwatch, or other multiplayer titles. Their videos and streams showcase their skills, strategy, and teamwork, providing an exciting viewing experience. bavfakes atrioc top

Community Reaction: The incident sparked widespread condemnation from peers and fans alike, highlighting the severe emotional and professional harm caused to the victims of non-consensual deepfakes.

Atrioc, taken aback by the thoroughness of BAVFakes' investigation, chose to take a moment to reflect and gather his thoughts before responding. In his address, he acknowledged some of the discrepancies highlighted by BAVFakes, attributing them to mistakes and missteps rather than deliberate actions. He expressed a desire to learn from these experiences and do better in the future. In January 2023, popular Twitch streamer (Brandon Ewing)

(Brandon Ewing) and his subsequent efforts to address the issue of non-consensual AI-generated imagery. The Incident

Impact on Victims: The incident caused significant distress to the streamers depicted. QTCinderella shared that the violation and resulting body dysmorphia felt personal and ruinous. Aftermath: Detection is probabilistic; false positives/negatives occur

While there is no single "paper" by this name, the incident has been extensively documented in academic and legal contexts regarding deepfake regulation:

14. Limitations and caveats